gemma-4-e2b
Public AI IQ model profile with source-backed benchmark results and derived ranking context.
Release and Capabilities
| Public release | 2026-04-02 |
|---|---|
| Context window | 128,000 tokens |
Measured Coverage and Estimates
Gemma 4 E2b has 9 of 39 tracked IQ benchmark inputs across 3 of 7 dimensions. Raw benchmark tables contain source-backed results only. Derived IQ combines all six dimensions using the shared scoring methodology, including estimates where direct coverage is incomplete.
Among dimensions with direct benchmark coverage, this profile's highest estimated scores are Academic Reasoning (IQ 92) and Reliability (IQ 92). These dimension estimates can include statistical adjustments or predecessor priors; they are not raw benchmark percentages or claims of real-world task success.
Benchmark versions, evaluation harnesses, and coverage affect comparisons; a missing result is not a score of zero. See the scoring methodology for estimation and uncertainty limits.
IQ Dimensions
| Dimension | IQ | Coverage |
|---|---|---|
| Abstract Reasoning | 82 | 0/5 |
| Mathematical Reasoning | 77 | 0/5 |
| Academic Reasoning | 92 | 5/6 |
| Programmatic Reasoning | 79 | 0/6 |
| Computer Use | 76 | 0/5 |
| Reliability | 92 | 3/6 |
| Knowledge Work | 91 | 1/6 |
Benchmark Results
| Benchmark | Score | Dimension |
|---|---|---|
| AA Long Context Reasoning v1.1 | 16.3333 | Reliability |
| AA Omniscience | -23.5833 | Reliability |
| CritPt | 0 | Academic Reasoning |
| GDPval-AA v2.1 normalized score | 0 | Knowledge Work |
| GPQA Diamond | 43.3333 | Academic Reasoning |
| Humanity's Last Exam | 4.7729 | Academic Reasoning |
| IFBench | 38.0272 | Reliability |
| MMMU-Pro | 44.5665 | Academic Reasoning |
| SciCode | 21 | Academic Reasoning |
Compare
Frequently Asked Questions
- What is the IQ of gemma-4-e2b?
- gemma-4-e2b has an estimated IQ of 84, which ranks #158 out of 164 public models on the AI IQ leaderboard. The score combines seven equally weighted reasoning dimensions using measured benchmark results and conservative estimates for missing coverage.
- Is gemma-4-e2b open source?
- Yes — gemma-4-e2b is an open-weights model: its trained weights are published, so it can be downloaded and self-hosted.
- When was gemma-4-e2b released?
- gemma-4-e2b was publicly released on April 2, 2026.
- How large is the context window of gemma-4-e2b?
- gemma-4-e2b supports a context window of 128,000 tokens — the amount of text it can consider in a single request.